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Credit Risk Data Science Jobs in Hawthorne, CA (NOW HIRING)

Data Scientist II

Los Angeles, CA ยท On-site

$131K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Data Scientist II

Los Angeles, CA ยท Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Data Scientist II

Los Angeles, CA ยท On-site

$131K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Senior Technical Product Manager, Data Science

Los Angeles, CA ยท On-site

$136K - $179K/yr

... risk management, and MLOps standard processes โ€ข Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field Company : 2K is a development studio ...

Financial Crimes Data Scientist

Pasadena, CA ยท On-site

$100 - $200/hr

Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

Sr P&C Data Scientist

Los Angeles, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Science Execution * Own the endtoend analytical lifecycle for complex initiatives: data ... Follow model development best practices and model risk governance standards Business Partnership ...

Financial Crimes Data Scientist

Pasadena, CA ยท On-site

$100K - $200K/yr

Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

Financial Crimes Data Scientist

Pasadena, CA ยท On-site

$100K - $200K/yr

Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

Portfolio Manager II

Los Angeles, CA ยท On-site

$48.66 - $82.86/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analyzes credit data to support underwriting and creditworthiness assessments including developing and presenting individual credit recommendations. * Risk Management: Practices effective risk ...

Showing results 41-60

Credit Risk Data Science information

See Hawthorne, CA salary details

$37.6K

$115.8K

$200.8K

How much do credit risk data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for credit risk data science in Hawthorne, CA is $115,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $142,800.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Hawthorne, CA?

For Credit Risk Data Science jobs in Hawthorne, CA, the most frequently searched job titles are:

What cities near Hawthorne, CA are hiring for Credit Risk Data Science jobs?

Cities near Hawthorne, CA with the most Credit Risk Data Science job openings:

Credit Products Specialist II - Leisure, Hospitality & Gaming

Flagstar Bank

Beverly Hills, CA โ€ข On-site

Other

Medical, Dental, Vision, Life

Posted 20 days ago


Job description

Credit Products Specialist II - Leisure, Hospitality & Gaming

Location: Charlotte, NC 28202

The Credit Products Specialist II โ€“ Leisure, Hospitality & Gaming plays a key role in structuring and underwriting complex commercial credit transactions while managing an assigned loan portfolio within a specialized vertical or region. This position is responsible for independently analyzing credit risk, negotiating loan terms, and providing strategic recommendations to relationship and credit teams. By proactively monitoring portfolio performance and identifying emerging risks, this role ensures sound credit decisions and long-term client success. The position also supports the professional development of junior team members by sharing expertise and best practices.

Job Responsibilities
  • Credit Structuring & Underwriting: Lead underwriting efforts for complex loan requests, assessing creditworthiness and recommending risk-mitigating structures within the assigned specialized vertical or region.
  • Portfolio & Risk Management: Continuously monitor assigned portfolio to proactively identify credit risks, trends, and financial performance concerns.
  • Client & Stakeholder Engagement: Partner with sales in negotiations and client discussions, ensuring alignment between client needs and risk appetite.
  • Credit Agreement Review: Collaborate with legal teams to review and negotiate credit agreements, ensuring compliance with bank policies and risk management frameworks.
  • Mentorship & Training: Provide guidance to junior credit professionals, enhancing team capabilities and fostering a strong credit culture. Identifies and raises to leadership improvement areas in credit processes and procedures
  • Uses independent judgement and discretion to make decisions regarding assigned portfolio
  • Analyzes and resolves problems pertaining to the assigned portfolio.
  • Performs special projects, and additional duties and responsibilities as required.
  • Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.
Job Requirements
  • Education level required: Undergraduate Degree (4 years or equivalent) in Finance, Accounting, Economics, or a related field or 10+ years of equivalent experience
  • Minimum experience required: 4+ Years in commercial credit analysis, underwriting, or portfolio management.
  • 4+ years of experience in the direct specialized line of business (Specialized commercial industries, capital markets, corporate commercial banking, etc.)
  • Advanced financial modeling and risk assessment expertise.
  • Strong negotiation skills and ability to collaborate with clients.
  • Experience structuring complex loan transactions.
  • Ability to analyze macroeconomic trends and their impact on credit risk.
Job Competencies
  • Advanced Financial & Credit Analysis: Strong command of financial modeling, industry-specific credit risks, and structuring commercial credit transactions.
  • Risk Assessment & Decision-Making: Ability to proactively identify potential credit risks and recommend risk mitigation strategies.
  • Negotiation Skills: Works with RMs and clients to structure loan terms that align with both client needs and risk parameters.
  • Process & Portfolio Management: Manages complex portfolios, ensuring proactive monitoring and adherence to credit policies.
  • Stakeholder Influence: Builds strong relationships with internal and external partners, effectively communicating credit decisions.
  • Project Management: Ability to drive loan structuring and closing processes with minimal oversight.
  • Legal & Compliance Understanding: Familiarity with credit agreements, loan documentation, and regulatory requirements.
  • Technology & Data Utilization: Proficiency in financial analysis tools, CRM systems, and underwriting software.
  • Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights. Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.
  • Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience.
  • Physical demands (ADA): No unusual physical exertion is involved.

Flagstar is an Equal Opportunity Employer

We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program.

Pay Range: $104,198.25 - $169,816.00

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable.